Volunteering
-
01/2021 - 12/2022
IEEE ITSS German Chapter ExCom
Secretary of the IEEE Intelligent Transportation Systems Society German Chapter
Work Experience
-
03/2016 - today
Doctoral Researcher
Real-Time Computer Vision, Institute for Neural Computation, Ruhr University Bochum
-
01/2015 - 02/2016
Student Assistant
Real-Time Computer Vision, Institute for Neural Computation, Ruhr University Bochum
-
12/2014 - 02/2016
Student Assistant
Embedded Systems for Information Technology, Ruhr University Bochum
-
12/2012 - 12/2014
Student Administration Employee
Infopoint, Ruhr University Bochum
-
10/2010 - 12/2010
New Business Development Manager (German Market) & Project Manager
Comtec Translations, Royal Leamington Spa, United Kingdom
• client acquisition
• company representation on events
• translation project management
• proofreading
• translation
• DTP -
10/2009 - 07/2010
Intern In-House Translation and Customer Service
Comtec Translations, Royal Leamington Spa, United Kingdom
Education
-
10/2014 - 03/2017
M.Sc. in Applied Computer Science
Thesis:
Building a Simulated Environment for the Evaluation of Image Processing Algorithms
in the Context of On-Site Parking Guidance Systems -
10/2011 - 09/2014
B.Sc. in Applied Computer Science
Thesis:
Development of a smart phone user interface for a sensor-based car park routeing system -
04/2008 - 09/2009
M.A. in English and Roman Philology (Spanish)
Thesis:
Fate in Austen and Brontë -
10/2004 - 03/2008
B.A. in English and Roman Philology (Spanish)
Thesis:
Herkunft und Diskriminierung in Harry Potter
-
Automated Selection of High-Quality Synthetic Images for Data-Driven Machine Learning: A Study on Traffic SignsHorn, D., Janssen, L., & Houben, S.In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 832–837)
@inproceedings{HornJanssenHouben2021, author = {Horn, Daniela and Janssen, Lars and Houben, Sebastian}, title = {Automated Selection of High-Quality Synthetic Images for Data-Driven Machine Learning: A Study on Traffic Signs}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {832–837}, year = {2021}, }
Horn, D., Janssen, L., & Houben, S.. (2021). Automated Selection of High-Quality Synthetic Images for Data-Driven Machine Learning: A Study on Traffic Signs. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 832–837).Fully Automated, Realistic License Plate Substitution in Real-Life ImagesKacmaz, U., Melchior, J., Horn, D., Witte, A., Schoenen, S., & Houben, S.In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 2972–2979)@inproceedings{KacmazMelchiorHornEtAl2021, author = {Kacmaz, Ufuk and Melchior, Jan and Horn, Daniela and Witte, Andreas and Schoenen, Sebastian and Houben, Sebastian}, title = {Fully Automated, Realistic License Plate Substitution in Real-Life Images}, booktitle = {Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC)}, pages = {2972–2979}, year = {2021}, }
Kacmaz, U., Melchior, J., Horn, D., Witte, A., Schoenen, S., & Houben, S.. (2021). Fully Automated, Realistic License Plate Substitution in Real-Life Images. In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 2972–2979).2020
Fully Automated Traffic Sign Substitution in Real-World Images for Large-Scale Data AugmentationHorn, D., & Houben, S.In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 194–200)@inproceedings{HornHouben2020, author = {Horn, Daniela and Houben, Sebastian}, title = {Fully Automated Traffic Sign Substitution in Real-World Images for Large-Scale Data Augmentation}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {194–200}, year = {2020}, }
Horn, D., & Houben, S.. (2020). Fully Automated Traffic Sign Substitution in Real-World Images for Large-Scale Data Augmentation. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 194–200).2019
Fusing Shape-from-Silhouette and the Sparsity Driven Detector for Camera-Based 3D Multi-Object Localization with OcclusionsMichael, M., Horn, D., & Houben, S.In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 1417–1424)@inproceedings{MichaelHornHouben2019, author = {Michael, Matthias and Horn, Daniela and Houben, Sebastian}, title = {Fusing Shape-from-Silhouette and the Sparsity Driven Detector for Camera-Based 3D Multi-Object Localization with Occlusions}, booktitle = {Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC)}, pages = {1417–1424}, year = {2019}, }
Michael, M., Horn, D., & Houben, S.. (2019). Fusing Shape-from-Silhouette and the Sparsity Driven Detector for Camera-Based 3D Multi-Object Localization with Occlusions. In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 1417–1424).Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial NetworksSpata, D., Horn, D., & Houben, S.In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 622–628)@inproceedings{SpataHornHouben2019, author = {Spata, Dominic and Horn, Daniela and Houben, Sebastian}, title = {Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {622–628}, year = {2019}, }
Spata, D., Horn, D., & Houben, S.. (2019). Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 622–628).2018
Evaluation of Synthetic Video Data in Machine Learning Approaches for Parking Space ClassificationHorn, D., & Houben, S.In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 2157–2162)@inproceedings{HornHouben2018, author = {Horn, Daniela and Houben, Sebastian}, title = {Evaluation of Synthetic Video Data in Machine Learning Approaches for Parking Space Classification}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {2157–2162}, year = {2018}, }
Horn, D., & Houben, S.. (2018). Evaluation of Synthetic Video Data in Machine Learning Approaches for Parking Space Classification. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 2157–2162).Erste Ansätze zur automatischen Erkennung von Gruppenverhalten mithilfe des ComputersehensHorn, D., Houben, S., & Schöner, G.In J. Reichertz & Keysers, V. (Eds.), Emotion. Eskalation. Gewalt. (pp. 130–147) Beltz Juventa@incollection{HornHoubenSchöner2018, author = {Horn, Daniela and Houben, Sebastian and Schöner, Gregor}, title = {Erste Ansätze zur automatischen Erkennung von Gruppenverhalten mithilfe des Computersehens}, booktitle = {Emotion. Eskalation. Gewalt.}, editor = {Reichertz, Jo and Keysers, V.}, pages = {130–147}, publisher = {Beltz Juventa}, year = {2018}, }
Horn, D., Houben, S., & Schöner, G.. (2018). Erste Ansätze zur automatischen Erkennung von Gruppenverhalten mithilfe des Computersehens. In J. Reichertz & Keysers, V. (Eds.), Emotion. Eskalation. Gewalt. (pp. 130–147). Beltz Juventa.Automatisierte VideoanalyseHorn, D., Ibisch, A., & Tschentscher, M.In C. Moritz & Corsten, M. (Eds.), Handbuch Qualitative Videoanalyse (pp. 445–456) Springer VS Verlag@incollection{HornIbischTschentscher2018, author = {Horn, D. and Ibisch, A. and Tschentscher, M.}, title = {Automatisierte Videoanalyse}, booktitle = {Handbuch Qualitative Videoanalyse}, editor = {Moritz, C. and Corsten, M.}, pages = {445–456}, publisher = {Springer VS Verlag}, year = {2018}, }
Horn, D., Ibisch, A., & Tschentscher, M.. (2018). Automatisierte Videoanalyse. In C. Moritz & Corsten, M. (Eds.), Handbuch Qualitative Videoanalyse (pp. 445–456). Springer VS Verlag.2017
A simulated car-park environment for the evaluation of video-based on-site parking guidance systemsTschentscher, M., Pruß, B., & Horn, D.In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 1571–1576)@inproceedings{TschentscherPrußHorn2017, author = {Tschentscher, Marc and Pruß, Ben and Horn, Daniela}, title = {A simulated car-park environment for the evaluation of video-based on-site parking guidance systems}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {1571–1576}, year = {2017}, }
Tschentscher, M., Pruß, B., & Horn, D.. (2017). A simulated car-park environment for the evaluation of video-based on-site parking guidance systems. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 1571–1576).2015
Video-based Parking Space Detection: Localisation of Vehicles and Development of an Infrastructure for a Routeing SystemHorn, D., & Brüggenthies, M.In Proceedings of the Forum Bauinformatik (pp. 175–182)@inproceedings{HornBrüggenthies2015, author = {Horn, D. and Brüggenthies, M.}, title = {Video-based Parking Space Detection: Localisation of Vehicles and Development of an Infrastructure for a Routeing System}, booktitle = {Proceedings of the Forum Bauinformatik}, pages = {175–182}, year = {2015}, }
Horn, D., & Brüggenthies, M. (2015). Video-based Parking Space Detection: Localisation of Vehicles and Development of an Infrastructure for a Routeing System. In Proceedings of the Forum Bauinformatik (pp. 175–182).Winter Term 2021/2022
Lab courses Intensive Course C++ Summer Term 2021
Lectures Computersehen: Einführung Winter Term 2020/2021
Lab courses Intensive Course C++ Summer Term 2020
Lectures Computersehen: Einführung Winter Term 2019/2020
Lab courses Intensive Course C++ Winter Term 2018/2019
Lab courses Intensive Course C++ Summer Term 2018
Lectures Digital Image Processing Lab courses Intensive Course C++ Winter Term 2017/2018
Lab courses Intensive Course C++ Lab courses Programming Applications in C++ Summer Term 2017
Lab courses Computer Vision Lectures Digital Image Processing Lab courses Intensive Course C++ Winter Term 2016/2017
Lab courses Computer Vision Lab courses Intensive Course C++ Lab courses Programming Applications in C++ Summer Term 2016
Lab courses Intensive Course C++ -
Examination of the Insufficiencies of Cycle-Consistent Adversarially Generated ImagesJanssen, L.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany
@bachelorthesis{Janssen2020, author = {Janssen, Lars}, title = {Examination of the Insufficiencies of Cycle-Consistent Adversarially Generated Images}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {September}, year = {2020}, }
Janssen, L. (2020, September). Examination of the Insufficiencies of Cycle-Consistent Adversarially Generated Images. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.2019
Ansätze des maschinellen Lernens zur Binärsegmentierung von Parkplatzaufnahmen mit statischen KamerasBrauksiepe, M.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Brauksiepe2019, author = {Brauksiepe, Marc}, title = {Ansätze des maschinellen Lernens zur Binärsegmentierung von Parkplatzaufnahmen mit statischen Kameras}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {November}, year = {2019}, }
Brauksiepe, M. (2019, November). Ansätze des maschinellen Lernens zur Binärsegmentierung von Parkplatzaufnahmen mit statischen Kameras. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Stellplatzunabhängige Erkennung parallel geparkter Fahrzeuge mit Hilfe statischer KamerasEschbach, K.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Eschbach2019, author = {Eschbach, Kevin}, title = {Stellplatzunabhängige Erkennung parallel geparkter Fahrzeuge mit Hilfe statischer Kameras}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {October}, year = {2019}, }
Eschbach, K. (2019, October). Stellplatzunabhängige Erkennung parallel geparkter Fahrzeuge mit Hilfe statischer Kameras. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Untersuchung und Training der neuronalen Netzwerkarchitektur Faster-RCNN und YOLO zur FahrzeugdetektionPetrow, K.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Petrow2019, author = {Petrow, Kristina}, title = {Untersuchung und Training der neuronalen Netzwerkarchitektur Faster-RCNN und YOLO zur Fahrzeugdetektion}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {October}, year = {2019}, }
Petrow, K. (2019, October). Untersuchung und Training der neuronalen Netzwerkarchitektur Faster-RCNN und YOLO zur Fahrzeugdetektion. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Echtzeitfähige bildbasierte Videostabilisierung von Außenaufnahmen in dynamischen SzenenKiyani, M.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Kiyani2019, author = {Kiyani, Matiyar}, title = {Echtzeitfähige bildbasierte Videostabilisierung von Außenaufnahmen in dynamischen Szenen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {January}, year = {2019}, }
Kiyani, M. (2019, January). Echtzeitfähige bildbasierte Videostabilisierung von Außenaufnahmen in dynamischen Szenen. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.A Fast Method for Verification of Extrinsic Sensor Calibrations using Cross-Validation for Automated Driving DevelopmentRaza, S. H.Master’s thesis, Automation and Robotics, Technical University Dortmund, Germany@mastersthesis{Raza2019, author = {Raza, Syed Haseeb}, title = {A Fast Method for Verification of Extrinsic Sensor Calibrations using Cross-Validation for Automated Driving Development}, school = {Automation and Robotics, Technical University Dortmund, Germany}, year = {2019}, }
Raza, S. H. (2019). A Fast Method for Verification of Extrinsic Sensor Calibrations using Cross-Validation for Automated Driving Development. Master’s thesis, Automation and Robotics, Technical University Dortmund, Germany.Unüberwachte Posenregression von Verkehrsschildern mit Hilfe eines Cycle-Consistent Generative Adversarial NetworksMrosewski, L.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Mrosewski2019, author = {Mrosewski, Leon}, title = {Unüberwachte Posenregression von Verkehrsschildern mit Hilfe eines Cycle-Consistent Generative Adversarial Networks}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {}, year = {2019}, }
Mrosewski, L. (2019). Unüberwachte Posenregression von Verkehrsschildern mit Hilfe eines Cycle-Consistent Generative Adversarial Networks. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.2018
Implementierung und Evaluation einer Methode zur bildbasierten Erkennung von Fahrzeugen und deren Posen mittels kaskadierender EntscheidungsbäumeHegenbarth, J.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Hegenbarth2018, author = {Hegenbarth, Jens}, title = {Implementierung und Evaluation einer Methode zur bildbasierten Erkennung von Fahrzeugen und deren Posen mittels kaskadierender Entscheidungsbäume}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2018}, }
Hegenbarth, J. (2018). Implementierung und Evaluation einer Methode zur bildbasierten Erkennung von Fahrzeugen und deren Posen mittels kaskadierender Entscheidungsbäume. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Evaluation der Übertragbarkeit monokularer Tiefenschätzungsverfahren mit konvolutionalen neuronalen Netzwerken auf untrainierte AnwendungsdomänenKippert, S.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Kippert2018, author = {Kippert, Stefan}, title = {Evaluation der Übertragbarkeit monokularer Tiefenschätzungsverfahren mit konvolutionalen neuronalen Netzwerken auf untrainierte Anwendungsdomänen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2018}, }
Kippert, S. (2018). Evaluation der Übertragbarkeit monokularer Tiefenschätzungsverfahren mit konvolutionalen neuronalen Netzwerken auf untrainierte Anwendungsdomänen. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial NetworksSpata, D.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Spata2018, author = {Spata, Dominic}, title = {Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2018}, }
Spata, D. (2018). Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.2017
Entwicklung einer komplexen Fahrzeug-KI mithilfe der Unreal Engine zur Interaktion mit einem kamerabasierten ParkleitsystemAsakura, V., Hegenbarth, J., Kippert, S., Spata, D., & Tayeran, S.Study project, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{AsakuraHegenbarthKippertEtAl2017, author = {Asakura, Vincent and Hegenbarth, Jens and Kippert, Stefan and Spata, Dominic and Tayeran, Shervin}, title = {Entwicklung einer komplexen Fahrzeug-KI mithilfe der Unreal Engine zur Interaktion mit einem kamerabasierten Parkleitsystem}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, type = {Study project}, year = {2017}, }
Asakura, V., Hegenbarth, J., Kippert, S., Spata, D., & Tayeran, S. (2017). Entwicklung einer komplexen Fahrzeug-KI mithilfe der Unreal Engine zur Interaktion mit einem kamerabasierten Parkleitsystem. Study project, Applied Computer Science, Ruhr University Bochum, Germany.The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, GermanyTel: (+49) 234 32-28967
Fax: (+49) 234 32-14210
2020